David M. Beazley

1.7k total citations
36 papers, 1.1k citations indexed

About

David M. Beazley is a scholar working on Artificial Intelligence, Hardware and Architecture and Computer Networks and Communications. According to data from OpenAlex, David M. Beazley has authored 36 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Artificial Intelligence, 10 papers in Hardware and Architecture and 8 papers in Computer Networks and Communications. Recurrent topics in David M. Beazley's work include Computational Physics and Python Applications (11 papers), Parallel Computing and Optimization Techniques (10 papers) and Scientific Computing and Data Management (7 papers). David M. Beazley is often cited by papers focused on Computational Physics and Python Applications (11 papers), Parallel Computing and Optimization Techniques (10 papers) and Scientific Computing and Data Management (7 papers). David M. Beazley collaborates with scholars based in United States. David M. Beazley's co-authors include P. S. Lomdahl, S.J. Zhou, Guido van Rossum, Brad Lee Holian, Dean L. Preston, S. Parker, Chris R. Johnson, Niels Grønbech‐Jensen, Pablo Tamayo and Timothy C. Germann and has published in prestigious journals such as Science, Physical Review Letters and Journal of materials research/Pratt's guide to venture capital sources.

In The Last Decade

David M. Beazley

31 papers receiving 966 citations

Peers

David M. Beazley
Comparison fields: 5 of 118
  • Materials Chemistry 365
  • Computer Networks and Communications 200
  • Hardware and Architecture 180
  • Artificial Intelligence 177
  • Mechanics of Materials 159
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Daniel Arndt United States
Mario A. Storti Argentina
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Citations per field, relative to David M. Beazley
David M. Beazley · 1×
Citations per year, relative to David M. Beazley
David M. Beazley · 1×

Countries citing papers authored by David M. Beazley

Since Specialization
Citations

This map shows the geographic impact of David M. Beazley's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by David M. Beazley with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites David M. Beazley more than expected).

Fields of papers citing papers by David M. Beazley

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by David M. Beazley. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by David M. Beazley. The network helps show where David M. Beazley may publish in the future.

Co-authorship network of co-authors of David M. Beazley

This figure shows the co-authorship network connecting the top 25 collaborators of David M. Beazley. A scholar is included among the top collaborators of David M. Beazley based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with David M. Beazley. David M. Beazley is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
# Work Indexed citations
1
A tale of two concurrencies (part 2)
1
2
Three Years of Python 3.
1
3
Secrets of the Multiprocessing Module.
0
4
Data processing with Pandas
2
5
Python 3: the good, the bad and the ugly
1
6
Python Essential Reference (3rd Edition) (Developer's Library)
2
7
SWILL: A Simple Embedded Web Server Library
12
8
Python Web Programming
1
9
An Embedded Error Recovery and Debugging Mechanism for Scripting Language Extensions
1
10 14
11
Python Essential Reference
91
12 27
13
Building Flexible Large-Scale Scientific Computing Applications with Scripting Languages.
11
14 3
15 51
16 1
17
Large-Scale Molecular Dynamics Simulations of Three-Dimensional Fracture
1
18 35
19
Molecular Reconnaissance
3
20 45

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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